code: def RandomUniformInitializer(lim=1.0):
      """Returns an initializer for random uniform coefficients."""
      # Make sure shape does not contain int tensors by calling int() below.
      return lambda shape, rng: random.uniform(  # pylint: disable=g-long-lambda
          rng, _PureShape(shape), jnp.float32, -lim, lim
      )
  
file_path: trax/trax/layers/initializers.py
imports: from absl import logging
  import numpy
  import tensorflow.compat.v2
  from trax.fastmath import numpy
  from trax.fastmath import random
label_desc: Use image node_id 5 for calling a global function with example usage: RandomUniformInitializer(lim) and returns: function